Lithium metatitanate,
Li
2
TiO
3
, is a leading
candidate for application as a tritium breeding material in a future
fusion reactor. Following transmutation of lithium, the tritium must
escape the crystal in order to be extracted for use in the fusion
plasma. The rate-limiting step to release tritium from the Li
2
TiO
3
pebbles is diffusion through the crystal grains.
In this work, the activation barriers for tritium diffusion have been
calculated using density functional theory. The results show that
tritium can diffuse as an interstitial with a barrier of 0.52 eV.
However, when a tritium ion becomes bound to a lithium vacancy defect,
the energy required to either detrap the tritium from the vacancy
or for the cluster to diffuse increases to >1 eV. Overall, these
results
suggest that the introduction of lithium vacancies due to Li burn-up
may lead to an increase in tritium retention in the pebbles.
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It is well established that Re and Ru additions to Ni-base superalloys result in improved creep performance and phase stability. However, the role of Re and Ru and their synergetic effects are not well understood, and the first step in understanding these effects is to design alloys with controlled microstructural parameters. A computational approach was undertaken in the present work for designing model alloys with varying levels of Re and Ru. Thermodynamic and first principles calculations were employed complimentarily to design a set of alloys with varying Re and Ru levels, but which were constrained by constant microstructural parameters, i.e., phase fractions and lattice misfit across the alloys. Three ternary/quaternary alloys of type Ni-Al-xRe-yRu were thus designed. These compositions were subsequently cast, homogenized and aged. Experimental results suggest that while the measured volume fraction matches the predicted value in the Ru containing alloy, volume fraction is significantly higher than the designed value in the Re containing alloys. This is possibly due to errors in the thermodynamic database used to predict phase fraction and composition. These errors are also reflected in the mismatch between predicted and measured values of misfit. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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